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https://github.com/drizzle-team/drizzle-benchmarks
https://github.com/drizzle-team/drizzle-benchmarks
Last synced: about 2 months ago
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- Host: GitHub
- URL: https://github.com/drizzle-team/drizzle-benchmarks
- Owner: drizzle-team
- Created: 2023-09-22T10:55:34.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-08-22T15:14:32.000Z (5 months ago)
- Last Synced: 2024-10-30T04:29:52.019Z (3 months ago)
- Language: TypeScript
- Size: 2.26 MB
- Stars: 40
- Watchers: 1
- Forks: 12
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
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README
# Drizzle Benchmarks
Drizzle has always been fast, we just wanted you to have a meaningful [benchmarks experience](orm.drizzle.team#benchmarks)
We ran our benchmarks on 2 separate machines, so that observer does not influence results. For database we're using PostgreSQL instance with 42MB of E-commerce data(~370k records).
K6 benchmarking instance lives on MacBook Air and makes [1M prepared requests](./data/requests.json) through 1GB ethernet to Lenovo M720q with Intel Core i3-9100T and 32GB of RAM.
To run your own tests - follow instructions below!
## Prepare test machine
1. Spin up a docker container with PostgreSQL using `pnpm start:docker` command. You can configure a desired database port in `./src/docker.ts` file:
```ts
...
}
const desiredPostgresPort = 5432; // change here
main();
```
2. Update `DATABASE_URL` with allocated database port in .env file:
```env
DATABASE_URL="postgres://postgres:postgres@localhost:5432/postgres"
```
3. Seed your database with test data using `pnpm start:seed` command, you can change the size of the database in `./src/seed.ts` file:
```ts
...
}
main("micro"); // nano | micro
```
4. Make sure you have Node version 18 installed or above, we've used Node v22. You can use [`nvm use 22`](https://github.com/nvm-sh/nvm) command
5. Start Drizzle/Prisma server:
```bash
## Drizzle
pnpm start:drizzle
## Prisma
pnpm prepare:prisma
pnpm start:prisma
```
## Prepare testing machine
1. Generate a list of http requests with `pnpm start:generate`. It will output a list of http requests to be run on the tested server | `./data/requests.json`
2. Install [k6 load tester](https://k6.io/)
3. Configure tested server url in `./k6.js` file
```js
// const host = `http://192.168.31.144:3000`; // drizzle
const host = `http://192.168.31.144:3001`; // prisma
```
4. Run tests with `k6 run bench.js` 🚀